As GTC Goes Digital, AI Podcast Doubles Down


by BRIAN CAULFIELD

It was a simple formula: Get a microphone, go to NVIDIA’s GPU Technology Conference, interview as many people as possible about what they’re doing.

Year in and year out the result has been great conversations with some people using AI to taking on the greatest challenges of our time — from fusion energy research and astronomy to cybersecurity and transportation.

Those conversations won’t be happening face-to-face, but they’ll continue this year. In the weeks ahead, we’ll be releasing interviews with members of the GTC community about their work.

It’s just one facet of the premier deep learning and AI conference that you’ll be able to engage with, online.

You’ll be able to join live webinars, training and Connect with the Experts sessions starting Tuesday, March 24.

You can also choose from a library of talks, panels, research posters and demos that you can view on your own schedule, at your own pace.

New on-demand content will be announced every Thursday starting March 26. And registration for GTC Digital is free.

Meanwhile, here’s a selection of some of the most interesting podcast interviews we’ve done at past GTCs.

How Deep Learning Can Accelerate the Quest for Cheap, Clean Fusion Energy Clean, cheap fusion energy would change everything for the better. AI Podcast guest William Tang has spent a career at the forefront of that field, currently as principal research physicist at the Princeton Plasma Physics Laboratory. He’s also one of the world’s foremost experts on how the science of fusion energy and high performance computing intersect. He talks about how new tools — deep learning and artificial intelligence — are being put to work to enable big-data-driven discovery in key scientific endeavors, such as the quest to deliver fusion energy.

Astronomers Turn to AI as New Telescopes Come Online

The good news: astronomers are getting new tools to let them see further, better than ever before. The bad news: they’ll soon be getting more data than humans can handle. To turn the vast quantities of data that will be pouring out of these instruments into world-changing scientific discoveries, Brant Robertson, a visiting professor at the Institute for Advanced Study in Princeton and an associate professor of astronomy at UC Santa Cruz, is turning to AI.

How Airbus A³ Plans to Bring Autonomous Air Taxis to Urban Skies

With self-driving cars generating so much buzz, it’s hard to believe that a self-piloting air taxi is, err, flying under the radar. But not for long. Arne Stoschek, head of autonomous systems at Airbus A3 (pronounced “A-cubed”), the Silicon Valley-based advanced products and partnerships outpost of Airbus Group, discusses a plan to bring self-piloted air taxis to the Bay Area’s skies.

How Syed Ahmed Taught AI to Translate Sign Language

We all know how far AI, and in particular deep learning, have pushed speech recognition, whether that’s with Apple Siri, Amazon Alexa or Google Assistant. Syed Ahmed is directing the power of AI toward another form of communication: American Sign Language. And what he’s done is set up a deep learning model that translates ASL into English.

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